Yusha Araf
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 9
-
- COVID-19 Clinical Research Studies 19
- SARS-CoV-2 and COVID-19 Research 14
- Co-authors
- Chunfu ZhengF. AkterMd. Golzar HossainYan‐Dong TangMd Sorwer Alam ParvezBishajit SarkarMd. Asad UllahMohammad Jakir Hosen
- Journals
- Molecular Biology Reports (4 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Frontiers in Immunology (2 papers)Frontiers in Public Health (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- BangladeshCanadaChina
In The Last Decade
Yusha Araf
60 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Infectious Diseases 733
- Modeling and Simulation 110
- Health 79
- Neurology 133
- Applied Microbiology and Biotechnology 16
Countries citing papers authored by Yusha Araf
This map shows the geographic impact of Yusha Araf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yusha Araf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusha Araf more than expected).
Fields of papers citing papers by Yusha Araf
This network shows the impact of papers produced by Yusha Araf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yusha Araf. The network helps show where Yusha Araf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yusha Araf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 33 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 42 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 99 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 23 | |
| 18 | 2020 | 19 | |
| 19 | Molecular Docking and Pharmacological Property Analysis of Antidiabetic Agents from Medicinal Plants of Bangladesh against Type II Diabetes: A Computational Approach | 2019 | 4 |
| 20 | 2019 | 8 |
About Yusha Araf
Yusha Araf is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Neurology and Molecular Biology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (14 papers), vaccines and immunoinformatics approaches (10 papers), COVID-19 epidemiological studies (9 papers), Mosquito-borne diseases and control (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Computational Drug Discovery Methods (5 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Infectious Diseases (733 citations), Modeling and Simulation (110 citations), Health (79 citations), Neurology (133 citations) and Applied Microbiology and Biotechnology (16 citations). Yusha Araf has collaborated with scholars based in Bangladesh, Canada and China. Frequent co-authors include Chunfu Zheng, F. Akter, Md. Golzar Hossain, Yan‐Dong Tang, Md Sorwer Alam Parvez, Bishajit Sarkar, Md. Asad Ullah, Mohammad Jakir Hosen, Md. Asad Ullah and Abu Tayab Moin. Their work appears in journals such as Molecular Biology Reports, Journal of Biomolecular Structure and Dynamics, Frontiers in Immunology, Frontiers in Public Health and Journal of Medical Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.